Skip to main content
SpringerLink
Log in

Design a management information system for financial risk control

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

This paper presents an evaluation of the financial system risk quantitatively and a management information system designed to improve financial risk management. Based on the recognition of risk sources for all kinds of financial institutions and financial markets, we use a matrix covering financial risk probability and related damage to assess local risks and carry out risk classification, and use self-organizing mapping neural network model to evaluate the overall risks. Also, by means of radio frequency identification technology and big data analytics platform—Hadoop platform, a management information system is built which could perform three core functions: real-time monitor , analysis and evaluation, and automatic control, which would help regulators to realize the whole process and comprehensive intelligent management for financial risk sources.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Chao, L., Lu, M.: Analytic hierarchy process and fuzzy assessment method in the application of the risk evaluation of electronic commerce. In: Conference: international conference on humanity and social science (ICHSS2016) (2016)

  2. Li, C., Zhang, X., Geng, H., Yan, J.: Robustness analysis model for MADM methods based on cloud model. Procedia Comput. Sci. 107, 84–90 (2017)

    Article  Google Scholar 

  3. Guo, Hui, Neely, Christopher J., Higbee, Jason: Foreign exchange volatility is priced in equities. Financial Manag. 37(4), 769–790 (2008)

    Article  Google Scholar 

  4. Pavlova, Anna, Rigobon, Roberto: Asset prices and exchange rates. Rev. Financial Stud. 20(4), 1139–1181 (2007)

    Article  Google Scholar 

  5. Chen, Nai-fu, Cuny, Charles J., Haugen, Robert A.: Stock volatility and the levels of the basis and open interest in futures contracts. J. Finance 50(1), 281–300 (1995)

    Article  Google Scholar 

  6. Trolle, Anders B., Schwartz, Eduardo S.: Unspanned stochastic volatility and the pricing of commodity derivatives. Rev. Financial Stud. 22(11), 4423–4461 (2009)

    Article  Google Scholar 

  7. Akinduko, A.A., Mirkes, E.M., Gorban, A.N.: SOM: Stochastic initialization versus principal components. Inf. Sci. 364–365, 213–221 (2016)

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the National Social Science Foundation of China (Grant: 16FJL011) and China University of political Science and Law (Grant: 14ZFG79002).

Author information

Authors and Affiliations

  1. Business School, China University of Political Science and Law, 25 Xue Yuan Road, Hai Dian District, Beijing, 100085, China

    Yong Li

Authors
  1. Yong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yong Li.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Y. Design a management information system for financial risk control. Cluster Comput 22 (Suppl 4), 8783–8791 (2019). https://doi.org/10.1007/s10586-018-1969-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-018-1969-6

Keywords

Search

Navigation